- Search jobs
- Ann Arbor, MI
- machine learning engineer
Machine learning engineer Jobs in Ann Arbor, MI
Create a job alert for this search
Machine learning engineer • ann arbor mi
- Promoted
Machine Learning Signal Processing Engineer
Leidos IncAnn Arbor, MI, United StatesMachine Learning Engineer Lead
1000 KLA CorporationAnn Arbor, MI- Promoted
Machine Operator
Qualified StaffingSaline, MI, USManager - Work-Based Learning CCTE
Memphis-Shelby County SchoolsCareer & Technical Education- Promoted
Outreach Representative - Nursing Programs!
Unitek LearningAnn Arbor, MI, US- Promoted
Machine Learning Engineer Lead
KLAAnn Arbor, MI, United States- Promoted
Sr. HRIS Data Engineer
Domino'sAnn Arbor, Michigan, United States- Promoted
Machine Learning Engineer
VirtualVocationsAnn Arbor, Michigan, United States- Promoted
Machine Learning Signal Processing Engineer
AppcastAnn Arbor, MI, United States- Promoted
Building Engineer
WelltowerAnn Arbor, MI, US- Promoted
Machine Learning Signal Processing Engineer
LeidosAnn Arbor, MI, US1st shift Machine Operator
FasTemps, IncYpsilanti, USASenior Machine Learning Engineer
CriteoAnn Arbor, United States of America- Promoted
Screw Machine Operator
Dexter Automatic Products Co.Dexter, MI, US- Promoted
Senior Machine Learning Engineer, Autonomy Stack
Torc RoboticsAnn Arbor, Michigan, United States- Promoted
Research Staff, Machine Learning Engineer
DeepgramAnn Arbor, MI, United StatesDigital Learning Librarian
University of MichiganAnn Arbor, Michigan, US- Promoted
Sr. HRIS Data Engineer
Domino's CorporateAnn Arbor Charter Township, Michigan, United States- Promoted
Staff Machine Learning Engineer
CensysAnn Arbor, Michigan, United States- Promoted
Sales Engineer
Diedre Moire Corp.Ann Arbor, MI, US- associate dentist (from $ 50,000 to $ 273,750 year)
- software product manager (from $ 179,300 to $ 250,000 year)
- software engineering manager (from $ 179,300 to $ 215,750 year)
- platform engineer (from $ 109,750 to $ 207,405 year)
- product management (from $ 121,138 to $ 205,000 year)
- mental health associate (from $ 42,793 to $ 199,455 year)
- automotive engineer (from $ 110,000 to $ 196,000 year)
- attorney (from $ 67,500 to $ 192,500 year)
- infrastructure engineer (from $ 70,000 to $ 191,800 year)
- computer scientist (from $ 110,899 to $ 191,638 year)
- Lansing, MI (from $ 114,400 to $ 241,000 year)
- Cedar Rapids, IA (from $ 131,250 to $ 240,706 year)
- Grand Rapids, MI (from $ 133,750 to $ 240,706 year)
- Kent, WA (from $ 109,500 to $ 238,773 year)
- Simi Valley, CA (from $ 145,000 to $ 235,450 year)
- Spokane Valley, WA (from $ 145,000 to $ 235,450 year)
- Sunnyvale, CA (from $ 154,550 to $ 230,000 year)
- Bellevue, WA (from $ 140,000 to $ 229,250 year)
- Wichita Falls, TX (from $ 159,200 to $ 226,625 year)
- Austin, TX (from $ 144,900 to $ 225,000 year)
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
Related searches
Machine Learning Signal Processing Engineer
Leidos IncAnn Arbor, MI, United States- Full-time
Description
Do you want to join a high performing team that values integrity, innovation, and collaboration with a company whose mission is to make the world safer, healthier, and more efficient through information technology, engineering and science? Are you interested making a difference by applying your machine learning and signal processing skills toward state-of-the-art research and development problems? Leidos currently has two exciting openings for machine learning and signal processing engineers to work in our Ann Arbor, Michigan or Beavercreek, Ohio office.
As a machine learning / signal processing engineer, you will apply your skills to a wide variety of problems and datasets, primarily focused on remote sensing (SAR / RF, acoustic, EO / IR, and LIDAR) applications. Current projects include, but are not limited to, detection, tracking, data fusion, and classification. We develop a variety of combat identification (CID) algorithms and specialize in technologies to train these systems on synthetic data. We are looking for a qualified candidate to bring technical excellence, leadership, entrepreneurship, and creativity to our programs. You will interact with customers, grow to lead technical projects areas, and have the opportunity to pursue growth in new technologies. This position requires about three quarters of the job duties to be performed onsite due to the sensitive nature of this work and the desire for in-person collaboration, however we offer flexible in-office hours and the ability to perform some job duties remotely.
The opportunity to transform image and signal data into actionable information awaits!
Primary Responsibilities :
- Working with teams on the research, design, and development of sensor exploitation systems including signal processing, automatic target recognition, and signature modeling.
- Collaborating with our customers to address challenging mission requirements by researching and developing new capabilities as well as making improvements to existing systems.
- Rapidly and iteratively implement new algorithms to address these challenges.
- Develop Automatic Target Recognition (ATR) algorithms using Python, MATLAB, C++, and other languages for real world applications. Leverage state-of-the-art AI / ML tools and methods to improve performance of ATR systems
- Provide technical leadership for tasks and programs
Basic Qualifications
Preferred Qualifications :
AWTLINC
Original Posting : July 16, 2025
For U.S. Positions : While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range :
Pay Range $67,600.00 - $122,200.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.